Knowledge Tree
XI pipeline
Facts (10)
Sources
Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org 10 facts
claimThe generation of additional metadata in the XI pipeline is possible but depends on the specific use case and the resulting pipeline configuration.
referenceThe ScienceWise project uses the XI Pipeline with a human-in-the-loop approach to annotate papers and build a research knowledge graph.
referenceThe Guider project uses the XI Pipeline to extract dependency graphs from logs for dependency-driven analytics, utilizing a manually developed ontology and tracking multi-level granular provenance over facts, events, and sources.
procedureThe XI Pipeline uses distant supervision and an aggregated piecewise convolution network trained on existing knowledge graph relations for relation extraction.
referenceP. Cudré-Mauroux described the 'XI pipeline' for leveraging knowledge graphs for big data integration in a 2020 article in the journal Semantic Web.
referenceThe XI Pipeline constructs knowledge graphs semi-automatically from unstructured or semi-structured documents like publications and social network content.
procedureThe XI Pipeline performs fine-grained type association of entities by leveraging the textual surroundings of entities and the existing knowledge graph type hierarchy.
claimThe XI pipeline included support for incremental integration features in its final implementation.
claimThe XI Pipeline performs entity linking by combining probabilistic models and microtask crowdsourcing, which outperforms models that do not use a human-in-the-loop paradigm.
referenceThe ArmaTweet project uses the XI Pipeline to detect events like natural disasters or terrorist activity based on anomalies in extracted Twitter tweets.